$TER
相关推文
按时间倒序
-
TER 不是好代理，FORM 和 VIAV 更纯
@gregory_FTA $TER 不是个好的代理，因为它们体量太大了。它们还暴露在非 AI 领域，比如智能手机芯片、EV/汽车。 而且它们还要面对 Advantest 的竞争。 更好的信号是更纯粹的标的，比如 $FORM 和 $VIAV。
英文原文
@gregory_FTA $TER is not a good proxy because they're extremely large. They had exposure to non-AI segments like smartphone chips, EV/automotive. Then they're facing competition from Advantest. Best signals are more pure play from $FORM and $VIAV.
-
列出硅光晶圆测试瓶颈相关的几个标的。
“硅光扩产碰到了晶圆测试瓶颈” - $FORM（ficontec 离开后更有帮助），$AEHR - 台湾这边有 MPI（6223）、MA-tek（3587）、MSScorps（6830） - 再往上还有大市值的 $TER、Advantest（6857） 如果你感兴趣，这些大概是我脑子里能立刻想到的一些不错曝光。 我很快会给大家做一个更深入的 ETF 版本。
英文原文
"Silicon photonics scaling hits wafer testing bottleneck" - $FORM (helps that ficontec left), $AEHR - Over in Taiwan MPI (6223), MA-tek (3587), MSScorps (6830) - Then large cap Cap - $TER, Advantest (6857) Are some decent exposure off the top of my head if you’re curious. I’ll make a deeper dive ETF for you all soon.
-
认为 AEHR 在小市值下被低估，正被多家超大客户做资格认证。
$AEHR 在大约 11 亿美元市值下看起来极有吸引力。 Aehr 开始让我想起早期的 $TER，又有点像财报前的 $AAOI。 如果把时间线和猜测客户列出来： 2 月 11 日：Sonoma 为超大客户的 AI ASIC 处理器拿到生产胜利。（大概率是 $GOOGL、$AMZN、$META） - 可能是谷歌？Aehr 收购了 Incal，而 Incal 曾被猜测会被谷歌用于 TPU。 2 月 26 日：来自 AI 主力客户的 1400 万美元。（大概率是 $AMD、$NVDA） - 这里更像是 $AMD，用于 Instinct MI300/MI400。 3 月 3 日：一台 FOX-XP 系统对应的主硅光客户。（大概率是 $INTC siph） - 很可能 $INTC 就是他们的主客户。 3 月 31 日：来自一家新的大型硅光客户的首单。（大概率是 $AVGO、$MRVL、$CSCO） - 新客户（排除了 Intel），大概是这些正转向 800G/1.6T 硅光收发器的公司之一。 （这些都属于非常保密的 BOM 级推测） 不管怎样，这条时间线对 $AEHR 来说就是在不断加码。 也许就是下一次财报。也可能再过两季。 但感觉量产订单只是时间问题。
英文原文
$AEHR looks extremely promising at ~$1.1B MC. Aehr is starting to remind me of an early $TER, mixed with pre-earnings $AAOI. If we look at the timeline and speculated customers: Feb 11th: Sonoma production win for Hyperscaler's AI ASIC processors. (likely $GOOGL, $AMZN, $META). - Probably Google? Aehr bought Incal, who was speculated to be used by Google for their TPUs. Feb 26th: $14 million from AI lead customer (likely $AMD, $NVDA) - Probably $AMD here for Instinct MI300/MI400. March 3rd: Lead silicon photonics customer for one FOX-XP system (likely $INTC siph) - Very likely $INTC has been their lead customer. March 31st: Initial order from major new silicon photonics customer (likely $AVGO, $MRVL, $CSCO ) - New customer (rules out Intel), prob one of these transitioning to 800G/1.6T silicon photonics transceivers (All speculative, very confidential BOM) Regardless. This timeline is just bottling up for $AEHR. Could be next earnings. Or two quarters from now. But feels like a matter of time before we see mass orders.
-
整理Mirae Asset的CPO价值链全图，涵盖激光源到EDA各环节上市公司
来自Mirae Asset的CPO价值链概览： 激光源： Coherent < $COHR > Lumentum < $LITE > Furukawa Electric (TYO: 5801) Yuanjie Semiconductor (SHA: 688498) Innolight Technology / 中际旭创 (SZSE: 300308) PIC代工： TSMC < $TSM > GlobalFoundries $GFS Samsung Electronics (KRX: 005930) Tower Semiconductor < $TSEM > EIC、驱动IC： Broadcom < $AVGO > Marvell < $MRVL > NVIDIA < $NVDA > ELS、光引擎： Innolight / 中际旭创 (SZSE: 300308) TFC / 苏州天孚光通信 (SZSE: 300394) O-Net Technologies Eoptolink Technology (SZSE: 300502) FAU（光纤阵列单元）： Senko Advanced Components（私企） Sumitomo Electric (TYO: 5802) TFC (SZSE: 300394) FOCI Fiber Optic Communications (TWO: 3363) FAU、对准工具： ficonTEC（私企） All Ring Tech (TWO: 6187) ADST（私企） FAU、引擎组装： Fabrinet < $FN > Hon Hai / Foxconn (TWSE: 2317) ASE Technology < $ASX > FOCI (TWO: 3363) OSAT、先进封装： ASE Technology < $ASX > Amkor < $AMKR > Kyocera (TYO: 6971) Powertech / PTI (TWSE: 6239) Shinko Electric (TYO: 6967) Fabrinet < $FN > 连接器、套管： Senko Advanced Components（私企） Sumitomo Electric (TYO: 5802) US Conec（私企） T&S Communications (SZSE: 300570) Molex（私企） Browave (TWO: 3163) 光纤： Corning < $GLW > Sumitomo Electric (TYO: 5802) Nittobo / 日东纺绩 (TYO: 3110) 电/光测试： Keysight < $KEYS > Teradyne < $TER > FormFactor < $FORM > Chroma ATE (TWSE: 2360) Multilane（私企） 交换、系统： NVIDIA < $NVDA > Broadcom < $AVGO > Marvell < $MRVL > Google < $GOOGL > EDA： Synopsys < $SNPS > Cadence < $CDNS > Ansys < $ANSS > 对这些名单中的一些名称感到困惑，他们可能混淆了一些公司，比如把Innolight和激光源公司（如$MTSI、Sumitomo、$SIVE、Luxnet）与实际终端模块混在一起了（除非有什么非公开材料或者我遗漏了）。 但对于对这个领域感兴趣的人来说，这是一个很好的高层概览。 （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）: CPO领域Mirae分析师笔记： 规模化方向： CPO ASIC：$AVGO、$MRVL 光收发器：$COHR、$LITE、中际旭创 DSP/PAM4：$AVGO、$MRVL 相干DCI：$CIEN、$NOK OCS设备：iPronics、Polatis 光缆/光纤：$GLW、Prysmian、Furukawa HCF：$LITE、OFS DCI相干：Ciena、Nokia、Huawei 光放大器：$LITE、$COHR OCS网关：KDDI 规模提升方向： SiPh代工：imec、$GFS、$TSM SiPh调制器：$NVDA（内部MRM）、$INTC ELS：NTT、Furukawa、$LITE、$COHR 太赫兹互连：研发阶段？ CPO测试："新玩家进入增加" 微透镜/光学系统："新玩家进入增加" TLDR：规模提升的CPO即将到来。我认为分析师笔记遗漏了一堆上游公司名称，并把ELS和光源混为一谈了。 但对于了解他们认为谁是领先玩家来说，这是个很好的高层概览。
英文原文
CPO Value Chain Summary from Mirae Asset: Laser Source: Coherent < $COHR > Lumentum < $LITE > Furukawa Electric (TYO: 5801) Yuanjie Semiconductor (SHA: 688498) Innolight Technology / Zhongji Innolight (SZSE: 300308) PIC Foundry: TSMC < $TSM > GlobalFoundries $GFS Samsung Electronics (KRX: 005930) Tower Semiconductor < $TSEM> EIC, Driver IC: Broadcom < $AVGO > Marvell < $MRVL > NVIDIA < $NVDA > ELS, Optical Engine Innolight / Zhongji Innolight (SZSE: 300308) TFC / Suzhou TFC Optical Communication (SZSE: 300394) O-Net Technologies Eoptolink Technology (SZSE: 300502) FAU (Fiber Array Unit): Senko Advanced Components (Private) Sumitomo Electric (TYO: 5802) TFC (SZSE: 300394) FOCI Fiber Optic Communications (TWO: 3363) FAU, Align Tools: ficonTEC (Private) All Ring Tech (TWO: 6187) ADST (Private) FAU, Engine Assembly: Fabrinet < $FN > Hon Hai / Foxconn (TWSE: 2317) ASE Technology < $ASX > FOCI (TWO: 3363) OSAT, Advanced Packaging: ASE Technology < $ASX > Amkor < $AMKR > Kyocera (TYO: 6971) Powertech / PTI (TWSE: 6239) Shinko Electric (TYO: 6967) Fabrinet < $FN > Connector, Ferrule: Senko Advanced Components (Private) Sumitomo Electric (TYO: 5802) US Conec (Private) T&S Communications (SZSE: 300570) Molex (Private) Browave (TWO: 3163) Fiber: Corning < $GLW > Sumitomo Electric (TYO: 5802) Nittobo / Nitto Boseki (TYO: 3110) E/O Testing: Keysight < $KEYS > Teradyne < $TER > FormFactor < $FORM > Chroma ATE (TWSE: 2360) Multilane (Private) Switch, System: NVIDIA < $NVDA > Broadcom < $AVGO > Marvell < $MRVL > Google < $GOOGL> EDA: Synopsys < $SNPS > Cadence < $CDNS > Ansys < $ANSS > Confused by some of names of the list, they might have conflated a few names like Innolight with laser source like $MTSI, Sumitomo, $SIVE, Luxnet, with the actual end module (unless there's something that's not public material or I missed)? But just for people interested in the landscape, this is a good high-level overview.
-
列出 AI Displacement 等权组合年初至今回报，认为自己无意中做出了一个很强的 ETF。
我看了一下书签数量，才意识到： 我低调地搞出了一个很能打的 ETF？ AI Displacement 等权组合年初至今： $AXTI：+191.53% $AAOI：+144.47% $SNDK：+140.38% $SOI：+114.3% $LITE：+61.22% $AEHR：+60.97% $BE：+56.56% $VRT：+47.42% Samsung：+42.8% $TER：+37.99% $MU：+35.1% SK 海力士：+34.42% $NBIS：+25.57% $COHR：+24.92% Mediatek：+17.01% $INTC：+16.23% $ASML：+15.63% Advantest：+11.78% $TSM：+5.85% $COPX：+4.56% $TSEM：+2.44% $MRVL：-1.71% $NVDA：-4.55% $AVGO：-7.32% 这只是我脑子里第一时间想到的名字。 我个人持有其中很多，也没持有另外一些，比如 $NVDA 或 $BE，但我还是把它们放进来了。 不过老实说，如果我现在不是在主动管理仓位集中度，我会很愿意把这些名字等权配置。 我预计 AI Displacement ETF 还会继续上涨： 因为这些公司都是人工智能扩展算力和推理最主要的受益者。
英文原文
I realized by the amount of bookmarks. I lowkey dropped a banger ETF? AI Displacement Equal Weighted YTD: $AXTI: +191.53% $AAOI: +144.47% $SNDK: +140.38% $SOI: +114.3% $LITE: +61.22% $AEHR: +60.97% $BE: +56.56% $VRT: +47.42% Samsung: +42.8% $TER: +37.99% $MU: +35.1% Sk Hynix: +34.42% $NBIS: +25.57% $COHR: +24.92% Mediatek: +17.01% $INTC: +16.23% $ASML: +15.63% Advantest: +11.78% $TSM: +5.85% $COPX: +4.56% $TSEM: +2.44% $MRVL: -1.71% $NVDA: -4.55% $AVGO: -7.32% These are just the first names that came to my head. I own a lot of these personally (and don't own others like $NVDA or $BE ) but included them anyway. But honestly, I'd be happy to equal weight all these names if I weren't actively managing my portfolio concentrations. I expect the AI Displacement ETF to keep rising: As they're the largest beneficiaries of scaling compute and inference for artificial intelligence.
-
认为 AI 已引发不可逆的岗位替代，投资相关基础设施和瓶颈是对冲失业冲击的主要方式。
这个消息真的很令人心碎： $META 裁员 20% $ORCL 裁员 $AMZN 长期将有 60 万名工人被机器人和 AI 取代。 这是一种反乌托邦未来。 企业在没有人工劳动成本的情况下，仍然能赚创纪录的利润。 唯一能从中受益的办法： 把 AI 当成对冲工具去投资。 未来几年，想逃离 AI 造成的永久底层阶级，感觉最主要的办法就是这样。 AI 产生的股东权益回报，将流向股东。 而那些没投资股票、只能靠工资过活的人之间的差距会继续拉大。 这不是未来，而是已经在发生。 - Opus 4.6 已经足够替代今天大多数软件工程师。 - Waymo 已经开始在旧金山这样的地方替代出租车司机。 - 我们知道 $TSLA 的人形机器人也快来了，因为它们在中国已经普及。 这件事现在就在发生。 伊朗的扰动只是 AI 建设加速过程中的短期事件。 AI 已经到达拐点，而且似乎不可避免。 你已经看到美国就业修正接近减少 100 万，这非常惊人。 而且我们正在看到，新一代 LLM 正在由它们前一代模型自己构建，AI 正在逼近奇点（AI 递归增长）。 如果你要投资那些运行 AI 所需的算力和硬件： 数据中心 / 电力 / 电网板块： $NBIS、$XLU、$VRT、$BE 光子板块，负责扩展 AI： $LITE、$COHR、$AAOI、$TSEM 半导体板块，负责芯片： $NVDA、$TSM、$ASML、$INTC 存储板块，负责芯片： $MU、$SNDK、SK 海力士、三星 ASIC，负责超大规模云 AI 推理： $AVGO、$MRVL、Mediatek 良率 / 测试板块，确保芯片能工作： $TER、$AEHR、Advantest 以及 AI 所需的原材料或基板： $AXTI、$COPX、$SOI 还有很多其他公司，都在成为对抗大规模 AI 失业的单一、最大对冲工具。 谁掌握了算力的生产资料（瓶颈、材料、数据中心）： 谁就掌握了 AI 的未来。
英文原文
The news is pretty heartbreaking: $META 20% layoffs $ORCL layoffs $AMZN 600,000 workers long term layoffs as they get replaced by robotics and AI. This is a dystopian future. Companies end up with record profits, without the cost of human labor. The only way to benefit: Investing in AI as a hedge. The next few years feels like the main way to escape the permanent underclass, caused by AI displacement. The return on equity derived from AI will go to the shareholders. While the gap between those who live paycheck to paycheck, not invested in stocks. Will continue to grow. This is not the future. - Opus 4.6 is good enough to replace most software engineers today. - Waymo has started to replace taxi drivers in places like SF today. - We know $TSLA Humanoids are coming next as they’re widespread in China, today. This is happening now. Disruptions in Iran are only temporary to the accelerating AI buildout. AI has hit the inflection point, and looks inevitable. You’re already seeing US job revisions down close to 1 Million, which is staggering. And we’re seeing the newest LLMs be built by their previous models, as AI approaches the singularity (AI led recursive growth). Investing in where the compute and hardware needed to run the AI: From the datacenter/power/grid sector: $NBIS, $XLU, $VRT, $BE Photonics sector needed to scale AI: $LITE, $COHR, $AAOI, $TSEM Semi sector needed for the chips: $NVDA, $TSM, $ASML, $INTC Memory sector for the chips: $MU, $SNDK, SK Hynix, Samsung ASICs for hyperscaler AI inference: $AVGO, $MRVL, Mediatek Yields sector to make sure the chips work: $TER, $AEHR, Advantest Along with the raw materials or substrates needed for AI: $AXTI, $COPX, $SOI And many others become the single, largest, hedge against widespread AI displacement. Whoever owns the means of compute (bottlenecks, materials, datacenters): Owns the future of AI.
-
解析$AEHR作为AI芯片热测试瓶颈解决者，正从研发转向量产，受益于巨头资本开支周期。
更简明的 $AEHR 概览 - 11 亿美元（无行话）。这是我的一个多头持仓： 在 AI 领域，散热是一个已知的瓶颈。 随着新一代 $NVDA 或 $AMD 类型的芯片发热量增加，如果一颗芯片熔毁，将是灾难性的。 因此科技巨头 -> 对每一颗芯片进行热应力测试，以查看其是否会在现场过早失效。 $AEHR 出售用于测试这些芯片的机器。 去年，他们类似于 $POET（处于预认证/测试阶段） -> 但现在他们已经通过了认证。 我们正看到从研发到大规模生产的拐点： 今天： -> $AEHR 获得 1400 万美元的芯片老化系统（wafer level）订单，以帮助扩大芯片生产。 但这台 1400 万美元的机器每周只能处理有限数量的晶圆。 -> 随着该 AI 客户扩大规模，他们将物理上耗尽热测试吞吐量。 因此，如果他们喜欢 $AEHR，就会购买更多，从而推动收入增长。 他们还有一个独立的产品线（Sonoma），用于测试封装后的芯片。 超大规模云服务商一直在订购此产品，因此有两个不同的测试阶段，两条收入来源。 管理层指引 2026 年下半年新增订单为 6000 万至 8000 万美元（这是巨大的增长）。 你可以参考 $TER（510 亿美元）或爱德万测试（约 1250 亿美元）来看看这类公司能有多大。 他们还在其他数据中心层进行测试： - 他们正在与 NAND Flash 内存供应商合作 - 硅光子学 我尽量去除了大部分技术行话，以便大多数人更容易理解，但这确实是一个微妙/技术性的领域。 $AEHR 具有潜力，因为它在多年的研发和认证后，现在开始实现真实规模的量产。 我们正处于一个巨大的资本支出周期中（想想 $ASML 的周期，人们为建设订购大量机器）。
英文原文
A simpler overview of $AEHR - $1.1B (without the jargon). One of my long positions: With AI, thermal is a known bottleneck. With new gen $NVDA or $AMD type chips that gets hot, if one chip melts down, it's a disaster. So tech giants -> every single chip stress tested with heat to see if it fails prematurely in the field. $AEHR sells the machines that does the testing of these chips. Last year, they were like $POET (pre-qualification/test phase) -> but now they've passed. We're seeing that inflection from R&D to mass production: Today: -> $14M order for $AEHR burn-in systems to help scale chip production (wafer level) But that $14M machine order can only handle a finite number of wafers per week. -> As this AI customer scales up, they will physically run out of thermal testing throughput. so they buy more if they like $AEHR, and this ramps up revenue. They also have a separate product line (Sonoma) for testing chips after they're packaged. Hyperscalers have been ordering this, so two different testing stages, two revenue streams. Management guided for a massive second half 2026 $60M to $80M in new bookings (which is big growth). You can look at $TER ($51B) or Advantest (~$125B) to see the ceiling of how big a lot of these companies can get. They also do testing across other data center layers too: - So they're working with NAND Flash memory suppliers - Silicon photonics Tried to strip out as much technical jargon as possible so it's more understandable to majority, but it's a very nuanced/technical field. $AEHR has potential as it's now scaling up real-volume after years of R&D and qualification. And we're sitting in an enormous capex cycle (think $ASML cycles, where people order a lot of machines for the buildout).
-
建议散户简化策略，聚焦核心标的如台积电，而非追踪复杂上游瓶颈。
对于绝大多数散户而言： 如果你想搭乘当前资本支出(capex)趋势的快车，我认为以下这些是必须持有的标的： 1. 存储(Memory) - $MU, 三星, 海力士, $SNDK 2. 光子学(Photonics) - $LITE, $COHR 3. CoWoS/晶圆代工(Foundry)/先进封装(Advanced Packaging) - $AMKR, $TSM, $INTC 随着向产业链上游深入，存在许多细微的瓶颈环节，例如我常提到的： 光子学的基板/原料层面的 $AXTI，共封装光学(CPO)中ELS领域的利基玩家如 $AAOI，良率相关的 $TER 或 $AEHR，硅光(SiPh)领域的 $TSEM。甚至是数据中心中从日月光(unimicron)到其他厂商的基板铜用量。 我的观点是，对于绝大多数(99%)的人来说，你可以选择“简单模式”生活，无需追踪 X 上的每日更新或 $AMKR 的资本支出流向。 只需关闭大脑中关于供应链映射/更新的部分，坚持持有像 $TSM 这样处于核心地位的标的，有时是更好的选择。 它很可能也会跑赢大部分上游玩家。
英文原文
For the vast majority of retail: If you want to ride the capex trends happening right now, these are probably must have imo: 1. Memory - $MU, Samsung, Sk Hynix, $SNDK 2. Photonics - $LITE, $COHR 3. CoWoS/Foundry/Advanced Packaging - $AMKR, $TSM, $INTC There's a lot of nuanced bottlenecks as you go upstream I talk about like : $AXTI in the substrate/feedstock level for photonics, random niche players like $AAOI for ELS in CPO. $TER or $AEHR for yields, or $TSEM for SiPh. Or even copper usage in DCs to substrates from unimicron to others. My opinion is that for the vast 99% of people, you can live life on easy mode without tracking day-to-day updates on X or where the capex spend from $AMKR goes. Just turning your brain off from all the supply chain mapping / updates, then just sticking with things like $TSM which is the center of it all is sometimes the better thing to do. It probably outperforms a large percentage of the upstream players as well.
-
看好4D AI趋势，建仓$AEVA作为中游瓶颈的投机性敞口。
说到像 $AXTI 这样的其他瓶颈环节。 我一直在研究 4D AI。 与行业内部人士的交谈让我相信，继 $NVDA 黄仁勋的会议后，物理 AI 和人形机器人的“世界模型(World Models)”是一个即将到来的趋势。 因此我建仓了从事 4D 激光雷达(4D LiDAR)的 $AEVA。 根据我的研究，这看起来是该趋势中最清晰的功能性中游瓶颈敞口？ 除非有人想提及其他标的。 还有像 $AMBA、$U（是的，是游戏软件）、$TER 和 $OUST 这样的公司，但它们体量较大，且敞口不够清晰。 话虽如此，这仍是一个新领域，所以我仍在进行研究。此外，基本面尚不稳定，因此这更多是对行业增长的创投型押注。 披露：我仅持有 $AEVA 的多头头寸，作为对 4D AI 及物理 AI 世界模型的投机性敞口。
英文原文
Speaking of other bottlenecks like $AXTI. I’ve been looking into 4D AI. Convos with industry insiders leads me to believe it’s an upcoming trend eg. “World Models” for physical AI and humanoids post $NVDA Jensen’s conference. So took positions into $AEVA which is 4D LiDAR. Looks like the clearest functional midstream bottleneck exposure to the trend, from my research? Unless someone has others they’d like to mention. There’s stuff like $AMBA, $U (yes the games software), $TER, and $OUST but they’re larger companies without the clearest exposure. That being said it’s still a new space so still doing research. Also, fundamentals are shaky, so this is more of a venture bet for the industry growth. Disclosure: I have long shares only of $AEVA, as speculative exposure to 4D AI + World Models for physical AI.
-
做多AEHR博弈存储与光子机会，MRVL因客户ASIC延期推迟至下半年建仓。
我目前做多 $AEHR，以防三大存储巨头将其用于 HBM DRAM 裸片老化测试，或超大规模云厂商扩大 Sonoma 的使用。此外，硅光子学也是另一个关注领域。因此，这更像是一个投机性的“登月”选择，旨在观察其能否与 Advantest 和 $TER 竞争。至于 $MRVL，我喜欢它，但我认为更适合等到 2026 年下半年再建仓。有报道称 $MSFT Maia 路线图延迟了约半年，而 Marvell 预期的收入增长很大一部分依赖于该超大规模云厂商的特定 ASIC 项目。因此，我将在今年晚些时候重新评估它。
英文原文
I'm actually long $AEHR right now in the event any of the big three memory companies use them for HBM DRAM die burn in or hyperscalers expands Sonoma usage. Then there's silicon photonics, which is another area of interest. So it's more of a speculative moonshot pick to see if it can compete with Advantest and $TER. As for $MRVL, I like it but I find it more of a wait until H2 2026 long. There were reports $MSFT Maia faced roadmap longer delays by like half a year and a large part of marvell's expected revenue growth is tethered to this specific hyperscaler ASIC program. So I'll revisit it later on in the year.
-
对比TER盘后大涨与SNDK表现平淡
@jukan05 哇，$TER 盘后涨幅超 19%。 不过对于 $SNDK 来说这只是平常的一天 https://t.co/Gu27gjquEi
英文原文
@jukan05 Wow, 19%+ AH on $TER. Just a normal day for $SNDK though https://t.co/Gu27gjquEi
-
梳理受益于美光及三星的HBM4供应链中小市值美股标的。
存储超级周期供应链要点： 受益于 $MU 和 SK/三星的美国冷门 HBM4/存储阿尔法标的： $VECO ($20亿) - 激光退火 $PLAB ($21亿) - 光刻掩模版 $ADEA ($21.8亿) - 混合键合 $ACLS ($29亿) - 离子注入 $FORM ($64.3亿) - HBM晶圆测试 $ONTO ($106亿) - 封装量测 $AMKR ($131亿) - 先进封装 $RMBS ($135.5亿) - 存储IP $MKSI ($149亿) - 激光子系统 未包含 $TER 和 $KLAC 等巨头，只想聚焦于知名度较低的标的。 还有一些间接受益者如 $SMTC 和 $MTSI。市场肯定尚未完全定价其中部分标的。 如果我漏掉了任何标的请告诉我。 只是想发布这些，以防你们对其中任何一只感兴趣。
英文原文
Memory Supercycle Supply Chain TLDR: US Sleeper HBM4/Memory alpha picks that benefit from $MU and SK/Samsung: $VECO ($2B) -Laser annealing $PLAB ($2.1B) - Lithography photomask $ADEA ($2.18B) - Hybrid bonding $ACLS ($2.9B) - Ion implantation $FORM ($6.43B) - HBM wafer testing $ONTO ($10.6B) - Packaging metrology $AMKR ($13.1B) -Advanced packaging $RMBS ($13.55B) - Memory IP $MKSI ($14.9B) - Laser subsystems Didn't include big players like $TER and $KLAC since just wanted to focus on lesser known ones. There's some indirect beneficiaries too like $SMTC and $MTSI. Markets definitely haven't priced some of these in yet. Let me know if I missed any. Just wanted to publish these in case you find any of them interesting.